Artificial Intelligence Flashcards
(21 cards)
What is Artificial Intelligence ?
AI refers to the development of computer systems that perform tasks requiring human intelligence such as visual perception, speech recognition, decision-making and language translation. It involves creating algorithms and models that learn from data, recognize patterns and make predictions without explicit programming.
What is Machine Learning?
ML is a subset of AI, enabling systems to learn from data without being explicitly programmed. It uses algorithms and statistical models that improve performance on a task through exposure to data.
What is Deep Learning?
Deep learning is a subset of ML that uses artificial neural networks for complex tasks inspired by the human brain. Deep learning excels at recognizing patterns in large datasets and is used in complex tasks like image and speech recognition.
What is Natural Language Processing (NLP)?
NLP is the ability of computers to analyze, understand and generate human language.
What is Computer Vision?
Computer Vision is the capability of computers to perceive and interpret visual data.
What is Robotics?
AI-powered robots that perceive and interact with their environment using AI techniques.
List three things that AI can perform.
- Decision making
- Language translation
- Speech recognition
How does ML differ from traditional programming?
ML adapts through data patterns.
Explain Deep Learning and it’s relationship to neural networks.
Use the whole définition of Deep Learning
Provide 2 examples of NLP.
- chatbots
- language translation apps
Explain the role of computer vision in self-driving cars.
It detects object, lanes and traffic signs.
Compare ML and DL
ML uses algorithms (e.g., decision trees), while DL uses neural networks for complex tasks. DL requires large datasets.
How does NLP differ from Computer vision?
NLP processes language (text/voice), while Computer Vision processes visual data (images/videos).
What is the difference between supervised and unsupervised learning?
Supervised learning uses labeled data (e.g., predicting prices), while unsupervised learning finds patterns in unlabeled data (e.g., customer clustering).
Explain how Netflix’s recommendation system uses AI.
Netflix’s system analyzes viewing history with ML to suggest personalized content.
Describe how a virtual assistant like Siri processes a voice command.
Siri converts speech to text (NLP), interprets intent, executes tasks (e.g., reminders), and responds via speech synthesis.
How do self-driving cars use both Computer Vision and Machine Learning?
Self-driving cars use Computer Vision to “see” the environment and ML to make driving decisions based on sensor data.
Name three industries where AI is used and provide an example for each.
Healthcare (diagnostic imaging), finance (fraud detection), manufacturing (predictive maintenance).
What role does AI play in healthcare? Give two specific applications.
AI diagnoses diseases via medical imaging analysis and assists in robotic surgeries.
How is AI used in fraud detection?
AI detects fraud by analyzing transaction patterns and flagging anomalies.
